A novel method of dynamic decoupling for multi-axis sensor

Author

Su Xiaodong

Author_Institution

Sch. of Comput. & Inf. Eng., Harbin Univ. of Commerce, Harbin, China

Volume

1

fYear

2009

fDate

5-6 Dec. 2009

Firstpage

137

Lastpage

140

Abstract

The error of dynamic coupling of a multi-axis sensor is a key factor of precision affection. In this paper, a new multi-axis sensor dynamic decoupling method based on a niche genetic algorithm is proposed. The method first gets the calibration data of the multi-sensor, and then uses the system identification method and the niche genetic algorithm to calculate and optimize the decoupling network based on the analysis method of transform function matrix. In addition, it also avoids the high precision requirement of the sensor model in the traditional dynamic decoupling method. Finally, the simulation results show the method is correct and effective.

Keywords

genetic algorithms; matrix algebra; sensor fusion; dynamic decoupling method; multiaxis sensor; niche genetic algorithm; precision affection; system identification method; transform function matrix; Algorithm design and analysis; Calibration; Genetic algorithms; Optimization methods; Output feedback; Performance analysis; Production; Sensor systems; System identification; Testing; dynamic decoupling; multi-axis sensor; niche genetic algorithm;

fLanguage

English

Publisher

ieee

Conference_Titel

Test and Measurement, 2009. ICTM '09. International Conference on

Conference_Location

Hong Kong

Print_ISBN

978-1-4244-4699-5

Type

conf

DOI

10.1109/ICTM.2009.5412977

Filename

5412977